Coursera Offers HPC Techniques to Scientific Computing

April 10, 2013

Randall J. Leveque, Professor of Applied Mathematics at the University of Washington in Seattle, will be conducting a free course that brings the principles of parallelism in high performance computers to those in scientific computing. Read more…

By Ian Armas Foster

XPRESS Route to Exascale

February 28, 2013

The Center for Research in Extreme Scale Computing (CREST) at Indiana University just got a $1.1 million grant to help further the move to exascale computing. Director Thomas Sterling is using some of the money to bolster UI's research into highly parallel processing for HPC. He talks to HPCwire about his plans. Read more…

By Nicole Hemsoth

Will Multicore Save the Day?

October 22, 2010

Muticore processors may extend the viability of Moore's Law, but present their own challenges. Read more…

By Tiffany Trader

Intel Defends iCore Performance vs Parallel Processing

July 6, 2010

A recent report found the Core i7 couldn't match the parallel processing performance of an NVIDIA GPU. Read more…

By Sumner Lemon

Kudos for CUDA

July 6, 2010

It's been almost three years since GPU computing broke into the mainstream of HPC with the introduction of NVIDIA's CUDA API in September 2007. Adoption of the technology since then has proceeded at a surprisingly strong and steady pace. The relatively-rapid adoption of CUDA by a community not known for the rapid adoption of much of anything is a noteworthy signal. Read more…

By Dr. Vincent Natoli

Life After Moore’s Law

April 29, 2010

Multicore CPUs are not the answer, says NVIDIA's Bill Dally. Read more…

By Bill Dally

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Full & Complete coverage of SC17

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Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.

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Avoiding the Storage Silo Trap; Best Practices for Data Storage in Scientific Research

From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.

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Creating a Modular, Building-Block Architecture for Life Science Workflows

As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.

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